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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

Zero-Day DDoS Attack

biblio

Visible to the public A Honeypot with Machine Learning based Detection Framework for defending IoT based Botnet DDoS Attacks

Submitted by aekwall on Mon, 06/01/2020 - 10:43am
  • Protocols
  • learning (artificial intelligence)
  • machine learning
  • machine learning model
  • machine learning techniques
  • malware
  • malware detection
  • Metrics
  • network security
  • IoT security
  • pubcrawl
  • Resiliency
  • Scalability
  • Training
  • Zero-day attacks
  • Zero-Day DDoS Attack
  • zero-day DDoS attacks
  • Human Factors
  • Computer crime
  • computer network security
  • Data models
  • DDoS attack detection
  • detection framework
  • honey pots
  • honeypot-based approach
  • Human behavior
  • composability
  • Internet of Things
  • invasive software
  • IoT botnet DDoS attacks
  • IoT Botnets
  • IoT honeypot
  • IoT Honeypots
  • IoT malware

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